Capabilities
Optimize actions strategically
We help companies to improve long-term customer engagement and lifetime value rather than temporarily boost metrics such as click-through rates. Our models and decision engines evaluate and optimize sequences of actions in a strategic context creating a personalized communication strategy for each customer.
Provide prescriptive guidance
Predictive analytics provides useful insights into marketing and customer care teams, but many organizations struggle to reconcile dozens of scores and efficiently operationalize all these signals. Our prescriptive next best action solutions take it to the next level by automatically optimizing actions and even sequences of actions based on all available information.
Leverage textual, audio, and video data
Unlike traditional personalization models that use mainly interaction data, our solutions are able to extract useful signals from virtually any source — call transcripts, customer reviews, camera footage, and many others. These signals are automatically converted into meaningful attributes and tags and then used in next best action optimization models and analytical processes.
Get deep insight into customer behavior drivers
We build solutions that analyze customer event histories and quantify the contribution of individual events into outcomes such as customer churn or conversion. This helps to reveal and visualize hidden event patterns, and design better, more relevant actions for individual customers and customer cohorts.
Use cases
Extend your marketing automation software
Our solutions can be integrated with marketing automation software such as Adobe or Salesforce marketing clouds, so that Next Best Action recommendations can be immediately operationalized.
Automatically personalize offers and customer experience
Our personalization engines can be integrated with eCommerce systems, mobile applications, and other touchpoints to optimize offers and content in real-time and learn from feedback events.
Create advanced decision support tools
Our analytics models and decision engines can be integrated with tools used by customer care specialists, financial advisors, doctors, and other professionals who need to be advised on the optimal customer communication and prioritization strategies.
Advanced customer data analytics and data driven personalization are expected in modern businesses, but how do you get there? Most solutions on the market right now are based on methods and methodologies developed decades ago and can’t keep up with the growing need for AI powered personalization. In this white paper, we review the six most common challenges and limitations of traditional personalization solutions and discuss how you can solve these challenges with the new generation of personalization solutions.
Industries
- Product recommendations
- Marketing communications
- Personalized offers
- Personalized offers
- Direct-to-consumer messaging
- Loyalty programs
- Decision support tools for patient support specialists
- Personalized patient notification
- Decision support tools for financial advisors
- Personalized client notification
- Churn prevention
- Web portal personalization
- Personalized offers
- In-game personalization
- Special offers
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